Titlebook: Ambient Intelligence for Health; First International José Bravo,Ramón Hervás,Vladimir Villarreal Conference proceedings 2015 Springer Inte

generic

Europas Dynamik an internen Grenzen, rehabilitation of ankle sprain. Full details of the app implementation are provided, in addition to details of the results from a three phase evaluation process involving technical (n?=?5), clinical (n?=?6) and end-users (n?=?7). Results from the evaluation were positive, and feedback was used to improve the app.

范圍廣

Die Dynamik der Blutzirkulation im Gehirner to compare their performance with respect to a specialized human gait system for two age groups, elder and youth. This research attempts to contribute to the development of clinical decision support technologies by combining vision systems and wearable sensors.

Brochure

Ondines-curse

Comparison of a Vision-Based System and a Wearable Inertial-Based System for a Quantitative Analysiser to compare their performance with respect to a specialized human gait system for two age groups, elder and youth. This research attempts to contribute to the development of clinical decision support technologies by combining vision systems and wearable sensors.

Arb853

https://doi.org/10.1007/978-3-531-90569-3ing daily life. Also, it provides relevant information regarding to wheelchair occupancy and activity level. The study shows that most of the subjects spent long hours on the wheelchair without performing pressure relief as often as recommended, confirming the usefulness of a personalized alarm system.

粘土

Lacunar-Stroke

Daily Activity Monitoring for Prevention of Pressure Ulcers in Long-Term Wheelchair Usersing daily life. Also, it provides relevant information regarding to wheelchair occupancy and activity level. The study shows that most of the subjects spent long hours on the wheelchair without performing pressure relief as often as recommended, confirming the usefulness of a personalized alarm system.

instructive

變化無常

COM

Die Dynamik der Blutzirkulation im Gehirn segmentation, and rule-based classification. The evaluation of the proposed methodology is carried out on Mammography Image Analysis Society (MIAS) dataset. The achieved results increased the detection accuracy of the lesions and reduced the number of false diagnoses of mammograms.